• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.130-138
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• 2019

In this study, a survey was conducted on Chinese students in a university in Busan, in order to investigate the relationship between oral health-related self-efficacy and quality of life according to smoking experience of Chinese students living in South Korea. The results of analyzing collected data with the SPSS 24.0 program showed that students without smoking experience had higher scores in brushing, oral health-related self-efficacy and oral health-related quality of life than those with smoking experience. Brushing self-efficacy was positively correlated with oral health-related self-efficacy, and oral health-related self-efficacy was positively correlated with oral health quality of life, which were all statistically significant. It was found that the presence or absence of smoking experience was associated with oral health promotion and improvement of quality of life in foreign students. Thus, the results of this study are expected to be used as basic data by conveying the necessity of developing oral health promotion programs for healthy living of foreign students.

• Journal of Convergence for Information Technology
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• v.11 no.2
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• pp.90-97
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• 2021

In this study, a Bi2Te3 thermoelectric generator (TEG) was fabricated to convert unused thermal energy into useful electrical energy. For the performance test, a dedicated experiment device consisting of a heating block operating with cartridge heaters and a cooling block through which a refrigerant flows was constructed. A 3×3 array of thermocouples was mounted on the heating block and the cooling block, respectively, to derive the temperature fields and heat transfer rate onto both sides of the TEG. Experiments were conducted for a total of 9 temperature differences, obtaining V-I and P-R curves. The results of 7 variables including Seebeck coefficients that have a major effect on performance were presented as a function of the temperature difference. The feasibility of the energy recovery performance of the developed TEG was verified from the maximum power output of 7.5W and conversion efficiency of 11.3%.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.162-170
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• 2021

This study attempted to grasp the causal relationship, focusing on the double mediating effect of career identity and career decision self-efficacy in the relationship between grit and career preparation behavior. Data were collected by a self-entry method using structured questionnaire for dental hygiene student in area B. And it was analyzed using SPSS and Process Macro. The biggest factor directly influencing career preparation behavior was career identity, followed by grit and career decision self-efficacy. Through path analysis, grit indirectly had a significant influence on career preparation behavior through the mediating sense of career identity and the sense of career identity and career decision self-efficacy. This suggests that grit and career identity should be enhanced for active career preparation behavior, so it is intended to be used as basic data for career education contents development for college students majoring in dental hygiene.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.67-74
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• 2021

The purpose of this study was to investigate the safety motivation, confidence in performance, and behavior of safety management and to identify the factors affecting behavior of safety management targeted nursing students. Subjects were 127 nursing students and data were collected by questionnaires from December 1 to December 20, 2020. Data were analyzed using t-test, ANOVA, Scheffe test, Pearson correlation coefficients and multiple regression analysis. Safety motivation was positive correlated with confidence in performance, and behavior of safety management. Confidence in performance was positive correlated with behavior of safety management. Safety motivation and confidence in performance were main factors that affects behavior of safety management. These results suggest to develop education intervention program that include safety motivation, confidence in performance in order to improve behavior of safety management of nursing students.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.7-13
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• 2021

This study develops an artificial intelligence prediction system for Fine particulate Matter(PM2.5) based on the deep learning algorithm GAN model. The experimental data are closely related to the changes in temperature, humidity, wind speed, and atmospheric pressure generated by the time series axis and the concentration of air pollutants such as SO2, CO, O3, NO2, and PM10. Due to the characteristics of the data, since the concentration at the current time is affected by the concentration at the previous time, a predictive model for recursive supervised learning was applied. For comparative analysis of the accuracy of the existing models, CNN and LSTM, the difference between observation value and prediction value was analyzed and visualized. As a result of performance analysis, it was confirmed that the proposed GAN improved to 15.8%, 10.9%, and 5.5% in the evaluation items RMSE, MAPE, and IOA compared to LSTM, respectively.

• Journal of IKEEE
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• v.26 no.2
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• pp.219-225
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• 2022

The textile industry in Korea, the dyeing sector is an energy-intensive sector and has low per-unit productivity due to its labor-intensive nature. If the defective rate of dyed fabrics is high, additional costs are incurred due to an increase in production cost due to re-dyeing. Therefore, the goal of the dyeing factory was to minimize the defect rate rather than to save energy. It was difficult to check the dyeing state of the fabric in real time due to the risk of accidents due to burns or pressure when dyeing in a high-temperature and high-pressure environment. In this paper, a complex sensor that can measure the exhaustion rate of dye solution in the dyeing machine using turbidity, pH, and conductivity sensors was proposed, and the experimental method and experimental results were analyzed.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.39-46
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• 2021

The purpose of this study was to investigate emotional labor, resilience and organizational commitment and to identify affecting factors of organizational commitment on hospital nurses. The subjects consisted of 180 general hospital nurse in the G city. The variables were measured using questionnaires, analyzed using t-test, ANOVA, Pearson's Correlation Coefficient and multiple regression analysis. The average score of emotional labor was 3.21±0.06, resilience was 3.32±0.48, and organizational commitment was 3.16±0.46. The factors influencing on organizational commitment were the satisfaction of the nursing job, total work experience, and resilience. The explanation of organizational commitment was 39%. These results suggest that it is necessary to develop promotion program and stratiges to improve nursing job satisfaction and resilience at the nursing organization and hospital level.

• Advanced Industrial SCIence
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• v.2 no.1
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• pp.8-14
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• 2023

This study was performed as a preliminary experiment to develop functional feed additives using by-products generated during the production of black garlic. Therefore antioxidant and immune enhancing activity of black garlic pomace were measured. As a result of measuring the antioxidant activity of black garlic pomace, it was found antioxidant activity. Nitric oxide (NO) assay was performed to test the immune enhancing activity of vegetable samples including black garlic pomace among the samples used in the experiment. As a result of the NO assay experiment, highest concentrations of black garlic pomace, aster glehni, and MIX form produced NO, which Garlic pomace (69.4%), aster glehni (35.9%), and MIX (45.3%), respectively, compared to LPS (100%). In conclusion, it is considered that black garlic pomace contains an anti-inflammatory effect, and if the optimal mixing ratio of black garlic pomace and aster glehni is selected, it will be of sufficient value as a feed additive containing an anti-inflammatory effect.

• Journal of Convergence for Information Technology
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• v.12 no.3
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• pp.252-258
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• 2022

In this study, we propose a method for analyzing students' understanding of probability and statistics in small lectures at universities. A computer-based test for probability and statistics was performed on 95 science and engineering college students. After dividing the students' responses into 7 clusters using the Robust PCA and the Gaussian mixture model, the achievement of each subject was analyzed for each cluster. High-ranking clusters generally showed high achievement on most topics except for statistical estimation, and low-achieving clusters showed strengths and weaknesses on different topics. Compared to the widely used PCA-based dimension reduction followed by clustering analysis, the proposed method showed each group's characteristics more clearly. The characteristics of each cluster can be used to develop an individualized learning strategy.

• Journal of Convergence for Information Technology
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• v.10 no.1
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• pp.178-186
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• 2020

The purpose of this study is to analyze whether there is a difference in the needs of the prevention program for dating violence according to the gender and major of University students. The subjects of the study were the humanities, social science and health care students in U university, which included 220 male students, 131 female students, and a total of 351 students. The research tool produced and surveyed the questionnaire about the timing, content and method of education about prevention of dating violence through the review of previous studies. For data analysis, independent sample t-test and cross-analysis were conducted to analyze the differences in the demands for dating violence prevention programs according to the gender and major of University students. The results of the study were as follows: First, there was a significant difference in the demands of teaching methods of dating violence prevention programs according to the gender in personal counseling and experience activities using open KakaoTalk. The women were significantly higher than men in all sub-factors of dating violence prevention programs. Second, there was a significant difference in the demands of teaching methods of dating violence prevention programs according to the major in personal counseling and experience activities using open KakaoTalk. The health care students were significantly higher in all sub-factors of dating violence prevention programs than in humanities and social sciences students.